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20062026
most citedFast inference of deep neural networks in FPGAs for particle physics

438 citations · 4.6k across the 134 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

hep-ex2021

A novel measurement of initial-state gluon radiation in hadron collisions using Drell-Yan events

CDF Collaboration, T. Aaltonen, S. Amerio +397

A study of initial-state gluon radiation (ISR) in hadron collisions is presented using Drell-Yan (DY) events produced in proton-antiproton collisions by the Tevatron collider at a…

hep-ex2021★ 9 cited

Review of opportunities for new long-lived particle triggers in Run 3 of the Large Hadron Collider

Juliette Alimena, James Beacham, Freya Blekman +75

Long-lived particles (LLPs) are highly motivated signals of physics Beyond the Standard Model (BSM) with great discovery potential and unique experimental challenges. The LLP searc…

hep-ex2021

Measurement of the charge asymmetry of electrons from the decays of bosons produced in collisions at TeV

CDF Collaboration, T. Aaltonen, S. Amerio +398

At the Fermilab Tevatron proton-antiproton () collider, high-mass electron-neutrino () pairs are produced predominantly in the process $p \bar{p} \rightarrow W(\right…

cs.LG2021★ 8 cited

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Farah Fahim, Benjamin Hawks, Christian Herwig +27

Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient devices and systems are extremely valuable across a broad range of application domains.…

cs.LG2021★ 131 cited

Fast convolutional neural networks on FPGAs with hls4ml

Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti +17

We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on FPGAs. By extending the hls4ml library, we demonstrate a…